Leverage Computer Vision and NLP to find more efficient ways to encode, distribute, and organize your unstructured image, video, and text data. From personalizing advertising and audience content to regulating illicit material to preventing copyright infringement and more, AI promises to transform the way content is distributed.
Add context to media processing. Use AI to identify the contents of videos frame by frame and identify objects to add appropriate tags. Develop training sets based upon the results of labeling multiple categories of objects and scenes as diverse as types of food, clothing, homes, and more.
Analyze shot changes using Computer Vision to classify the transition within video streams. Use classification to summarize video content, support advanced browsing, and filter “known-item” searches. Optimize advertising placement by serving ads based on their content.
Use AI to build a recommendation engine that continually learns customer preferences. Detect viewer tastes to suggest what they'd be interested in watching next. AI platforms assist in better serving content that caters to customer preferences, providing a personalized experience.
Use AI-automated image and video tagging to reduce the repetitive and time-consuming task of manually reviewing and labeling data. AI-based platforms can analyze videos frame by frame and identify objects to add appropriate tags at scale to help viewers find more relevant content faster.
Monitor text-based content, ads, images, profiles and videos to forums, online communities, social media pages and websites for to maintain brand credibility and security for businesses and customers online. Replace manual image, video, and text review with AI automation to scale projects quickly.
Leverage NLP to provide accurate multilingual subtitles for video content. Reduce time spent on the error prone, manual process of writing subtitles for multiple shows and movies in dozens of languages. Using AI for targeted tagging improves productivity and search results to satisfy audience preferences.
Gather valuable business insights from images, data and text using machine learning, image recognition and computer vision.
Recognize over 11,000 different concepts including objects, themes, moods, and more
Assign tags to analyze content for topic analysis, sentiment analysis, smart reply and more.
Detect toxic, obscene, racist or threatening language or train your own custom moderation models.
Classify images to quickly find and understand UGC.
Identify unwanted content such as gore, drugs, explicit nudity or suggestive nudity.
Predict the age, gender, or cultural appearances of faces
Identify celebrities that closely resemble celebrities
Detect the location of faces with bounding boxes
Detect items of clothing or fashion-related items
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.
Recognize more than 1,000 food items in images down to the ingredient level.
Identify the dominant colors present in your images in hex or W3C form.
Recognize textures and patterns in a two-dimensional image e.g., feathers, woodgrain, petrified wood, glacial ice and overarching descriptive concepts (veined, metallic).
Identify different levels of nudity in your visual data. Ideal for moderating and filtering offensive content from your platform.
Recognize specific features of residential, hotel, and travel-related properties.
Recognize over 400 concepts related to weddings including bride, groom, flowers, and more.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space computed by our General model.
Create your own model and teach it with your own images and concepts.
Explore our pre-built, ready-to-use image recognition models to suit your specific needs.